{"title":"General Methods for Evaluating Collision Probability of Different Types of Theta-phi Positioners","authors":"Baolong Chen, Jianping Wang, Zhigang Liu, Zengxiang Zhou, Hongzhuan Hu, Feifan Zhang","doi":"arxiv-2409.07288","DOIUrl":null,"url":null,"abstract":"In many modern astronomical facilities, multi-object telescopes are crucial\ninstruments. Most of these telescopes have thousands of robotic fiber\npositioners(RFPs) installed on their focal plane, sharing an overlapping\nworkspace. Collisions between RFPs during their movement can result in some\ntargets becoming unreachable and cause structural damage. Therefore, it is\nnecessary to reasonably assess and evaluate the collision probability of the\nRFPs. In this study, we propose a mathematical models of collision probability\nand validate its results using Monte Carlo simulations. In addition, a new\ncollision calculation method is proposed for faster calculation(nearly 0.15% of\noriginal time). Simulation experiments have verified that our method can\nevaluate the collision probability between RFPs with both equal and unequal arm\nlengths. Additionally, we found that adopting a target distribution based on a\nPoisson distribution can reduce the collision probability by approximately 2.6%\non average.","PeriodicalId":501031,"journal":{"name":"arXiv - CS - Robotics","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In many modern astronomical facilities, multi-object telescopes are crucial
instruments. Most of these telescopes have thousands of robotic fiber
positioners(RFPs) installed on their focal plane, sharing an overlapping
workspace. Collisions between RFPs during their movement can result in some
targets becoming unreachable and cause structural damage. Therefore, it is
necessary to reasonably assess and evaluate the collision probability of the
RFPs. In this study, we propose a mathematical models of collision probability
and validate its results using Monte Carlo simulations. In addition, a new
collision calculation method is proposed for faster calculation(nearly 0.15% of
original time). Simulation experiments have verified that our method can
evaluate the collision probability between RFPs with both equal and unequal arm
lengths. Additionally, we found that adopting a target distribution based on a
Poisson distribution can reduce the collision probability by approximately 2.6%
on average.